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案件記録

UPLINK REFERENCE SIGNAL CONFIGURATION ASSOCIATED WITH MONITORING OF AN ARTIFICIAL INTELLIGENCE MACHINE LEARNING MODEL FOR NETWORK-ASSISTED POSITION ESTIMATION

発明審査中
30請求項 · 3 独立
§ Ⅰ

案件概要

発明者

Mohammed Ali Mohammed HIRZALLAH; Marwen ZORGUI

IPC分類

H4W 64/H4L 5/H4W 24/2H4W 72/231

CPC分類

H4W64/H4L5/51H4W24/2H4W72/231

Aspects of the disclosure are thereby directed to an uplink reference signal (UL-RS) configuration associated with monitoring of an artificial intelligence machine learning (AIML) model for network-assisted position estimation (e.g., Case 2a, 2b, 3a and/or 3b for AIML model positioning use cases for 3GPP). In an aspect, the UL-RS configuration associated with monitoring of the AIML model may be different than a UL-RS configuration utilized for position estimation of the UE. In further aspects, the UL-RS configuration associated with monitoring of the AIML model may be utilized even if there is no active position estimation session of the UE. Such aspects may provide various technical advantages, such as improving positioning performance associated with AIML models (e.g., by utilizing the AIML model monitoring to validate/invalidate the AIML model, switch between AIML models, update the AIML model, etc.) while not being limited to UL-RS configurations for position estimation sessions.

原文(中国語)

Aspects of the disclosure are thereby directed to an uplink reference signal (UL-RS) configuration associated with monitoring of an artificial intelligence machine learning (AIML) model for network-assisted position estimation (e.g., Case 2a, 2b, 3a and/or 3b for AIML model positioning use cases for 3GPP). In an aspect, the UL-RS configuration associated with monitoring of the AIML model may be different than a UL-RS configuration utilized for position estimation of the UE. In further aspects, the UL-RS configuration associated with monitoring of the AIML model may be utilized even if there is no active position estimation session of the UE. Such aspects may provide various technical advantages, such as improving positioning performance associated with AIML models (e.g., by utilizing the AIML model monitoring to validate/invalidate the AIML model, switch between AIML models, update the AIML model, etc.) while not being limited to UL-RS configurations for position estimation sessions.

外部リソース